Point Target Detection In Adaptive Beamforming Algorithms With The Tms320c6201 Implanted Optimization Study

Microwave Near-Field Imaging is a new method of assisting in diagnosing breast cancer [1][2][3][4][5]. It detects breast cancer with electromagnetic wave pulse by it's penetrating capability. The physical basis[6][7] for microwave detection of breast cancer is the significant contrast in the dielectric properties of normal and malignant breast tissue. While in the Early Detection of Breast Cancer, for the width of beam is larger than the diameter (1 cm) of the malignant breast tissue. And it is important to control the beam width. Adaptive beamforming is a key technology to process the beam width. We use the method of Adaptive beamforming to make a directional beam which matching the malignant breast tissue, and to improve the precision of detection.Considering the practicality during early detection of breast Cancer this thesis gives the time-space adaptive beamforming arithmetic to process the received signal of antenna array. The theory analysis and the MATLAB simulation prove that the time-space adaptive beamforming arithmetic can restrain random noise and the interferential signal reflecting from the breast skin effectively.Considering the real-time performance during detection, in this thesis the algorithm is simplified and optimized in platform of DSP chip of TMS320C6201 successfully.This method can be applied in the other medicinal imaging fields. It also provides a reference to the signal process of smart antenna.